Summary
Bram Zandbelt is a Staff Data Scientist with 12 years of experience who blends deep academic expertise in computational neuroscience with practical leadership in enterprise Analytics & AI at Nederlandse Spoorwegen. He crafts technical vision and AI strategy, tackles cross-departmental challenges like AI governance and FAIR data, and drives standardization to turn analytics into measurable business value. Previously he built and led NS’s data science community as Tech Lead and shipped end-to-end production solutions across maintenance, stations, and staffing using cloud, CI/CD, and robust monitoring. His background as a Marie Skłodowska-Curie fellow and computational neuroscience researcher informs a rigorous approach to reproducible science, large-scale simulation, and Bayesian methods that he applies to real-world AI problems. Based in the Randstad, he equally focuses on training leaders in AI literacy and fostering collaborative communities, combining scientific rigor with practical impact.
12 years of coding experience
16 years of employment as a software developer
Bachelor of Science - BS, Biomedical sciences, Bachelor of Science - BS, Biomedical sciences at Vrije Universiteit Amsterdam (VU Amsterdam)
Doctor of Philosophy - PhD, Cognitive Neuroscience, Doctor of Philosophy - PhD, Cognitive Neuroscience at Utrecht University
VWO, VWO at Twickel College
English, Dutch